
Expedia Results Hit by Drop in International Travel
Demand for travel to the U.S. has weakened, and Expedia Group is feeling it.
Two-thirds of the company's business comes from the U.S., and inbound travel dropped 7% during the first quarter of the year, executiv
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
18 minutes ago
- Yahoo
Earnings To Watch: Advance Auto Parts (AAP) Reports Q2 Results Tomorrow
Auto parts and accessories retailer Advance Auto Parts (NYSE:AAP) will be reporting results this Thursday morning. Here's what investors should know. Advance Auto Parts beat analysts' revenue expectations by 3.1% last quarter, reporting revenues of $2.58 billion, down 6.8% year on year. It was a strong quarter for the company, with a beat of analysts' EPS estimates and full-year EPS guidance exceeding analysts' expectations. Is Advance Auto Parts a buy or sell going into earnings? Read our full analysis here, it's free. This quarter, analysts are expecting Advance Auto Parts's revenue to decline 8.7% year on year to $1.99 billion, a deceleration from its flat revenue in the same quarter last year. Adjusted earnings are expected to come in at $0.59 per share. The majority of analysts covering the company have reconfirmed their estimates over the last 30 days, suggesting they anticipate the business to stay the course heading into earnings. Advance Auto Parts has missed Wall Street's revenue estimates six times over the last two years. Looking at Advance Auto Parts's peers in the auto parts retailer segment, some have already reported their Q2 results, giving us a hint as to what we can expect. Monro delivered year-on-year revenue growth of 2.7%, beating analysts' expectations by 1.7%, and Genuine Parts reported revenues up 3.4%, topping estimates by 0.9%. Monro traded down 13.7% following the results while Genuine Parts was up 8.7%. Read our full analysis of Monro's results here and Genuine Parts's results here. There has been positive sentiment among investors in the auto parts retailer segment, with share prices up 3.7% on average over the last month. Advance Auto Parts is down 4.4% during the same time and is heading into earnings with an average analyst price target of $49.25 (compared to the current share price of $59.29). Unless you've been living under a rock, it should be obvious by now that generative AI is going to have a huge impact on how large corporations do business. While Nvidia and AMD are trading close to all-time highs, we prefer a lesser-known (but still profitable) semiconductor stock benefiting from the rise of AI. Click here to access our free report on our favorite semiconductor growth story. StockStory is growing and hiring equity analyst and marketing roles. Are you a 0 to 1 builder passionate about the markets and AI? See the open roles here. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data


Skift
19 minutes ago
- Skift
Two Large San Francisco Hotels Could Be Sold Soon
The DJIA jumped 484 points, the Nasdaq was up 297, the S&P 500 rose 72 points, and the 10-year treasury yield was up .02 to 4.29%. Lodging stocks had a really good day, with the REITs taking the lead. SVC was up 7%, INN and XHR were both up 5% and PEB, SHO, WH, H, and VAC were each up more than 4%. Aimbridge Hospitality announced the launch of a dedicated all-inclusive division designed to help owners and brands tap into the rising demand for experience-led all-inclusive hotels and resorts. The new division, to be based in Miami, united core disciplines including operations, commercial strategy, and guest experience, within a unified structure and backed by established brand relationships and deep regional expertise. With qualified opportunities already in the pipeline, Aimbridge expects to finalize its first all-inclusive agreements in the coming months and begin operations under the new division by year-end.


TechCrunch
19 minutes ago
- TechCrunch
ChatGPT's model picker is back, and it's complicated
When OpenAI launched GPT-5 last week, the company said the model would simplify the ChatGPT experience. OpenAI hoped GPT-5 would act as a sort of 'one size fits all' AI model with a router that would automatically decide how to best answer user questions. The company said this unified approach would eradicate the need for users to navigate its model picker — a long, complicated list of AI models that OpenAI CEO Sam Altman has said he hates — to pick a version of ChatGPT that offers the right kind of responses. But it looks like GPT-5 is not the unified AI model OpenAI hoped it would be. Altman said in a post on X Tuesday that the company introduced new 'Auto', 'Fast', and 'Thinking' settings for GPT-5 that all ChatGPT users can select from the model picker. The Auto setting seems to work like GPT-5's model router that OpenAI initially announced; however, the company is also giving users options to circumnavigate it, allowing them to access fast and slow responding AI models directly. Updates to ChatGPT: You can now choose between 'Auto', 'Fast', and 'Thinking' for GPT-5. Most users will want Auto, but the additional control will be useful for some people. Rate limits are now 3,000 messages/week with GPT-5 Thinking, and then extra capacity on GPT-5 Thinking… — Sam Altman (@sama) August 13, 2025 Alongside GPT-5's new modes, Altman said that paid users can once again access several legacy AI models — including GPT-4o, GPT-4.1, and o3 — which were deprecated just last week. 'We are working on an update to GPT-5's personality which should feel warmer than the current personality but not as annoying (to most users) as GPT-4o,' Altman wrote in the post on X. 'However, one learning for us from the past few days is we really just need to get to a world with more per-user customization of model personality.' ChatGPT's model picker now seems to be as complicated as ever, suggesting that GPT-5's model router has not universally satisfied users as the company hoped. The expectations for GPT-5 were sky high, with many hoping that OpenAI would push the limits of AI models like it had with the launch of GPT-4. However, GPT-5's rollout has been rougher than expected. The deprecation of GPT-4o and other AI models in ChatGPT sparked a backlash among users who had grown attached to the AI models' responses and personalities in ways that OpenAI had not anticipated. In the future, Altman says the company will give users plenty of advance notice if it ever deprecates GPT-4o. Techcrunch event Tech and VC heavyweights join the Disrupt 2025 agenda Netflix, ElevenLabs, Wayve, Sequoia Capital, Elad Gil — just a few of the heavy hitters joining the Disrupt 2025 agenda. They're here to deliver the insights that fuel startup growth and sharpen your edge. Don't miss the 20th anniversary of TechCrunch Disrupt, and a chance to learn from the top voices in tech — grab your ticket now and save up to $600+ before prices rise. Tech and VC heavyweights join the Disrupt 2025 agenda Netflix, ElevenLabs, Wayve, Sequoia Capital — just a few of the heavy hitters joining the Disrupt 2025 agenda. They're here to deliver the insights that fuel startup growth and sharpen your edge. Don't miss the 20th anniversary of TechCrunch Disrupt, and a chance to learn from the top voices in tech — grab your ticket now and save up to $675 before prices rise. San Francisco | REGISTER NOW GPT-5's model router also appeared to be largely broken on launch day. That caused some users to feel the AI model wasn't as performant as previous OpenAI models, and forced Altman to address the problem in an AMA session on Reddit. However, it seems that GPT-5's router may still not be satisfying for all users. 'We're not always going to get everything on try #1 but I am very proud of how quickly the team can iterate,' wrote OpenAI's VP of ChatGPT, Nick Turley, in a post on X Tuesday. Routing prompts to the right AI model is a difficult task that requires aligning an AI model to a user's preferences, as well as the specific question they're asking. The router then has to make a decision on which AI model to send the prompt to in just a split second — that way, if a prompt goes to a fast responding AI model, the response can still be fast. More broadly, some people exhibit preferences for AI models that go beyond fast or slow responses. Some users may like the verbosity of one AI model, while others might appreciate the contrarian answers of another. Human attachment to certain AI models is a relatively new concept that isn't well understood. For example, hundreds of people in San Francisco recently held a funeral for Anthropic's AI model, Claude 3.5 Sonnet, when it was taken offline. In other cases, AI chatbots seem to be contributing to mentally unstable people going down psychotic rabbit holes. It seems OpenAI has more work to do around aligning its AI models to individual user preferences.